Abstract: To address the challenges of inter-modal alignment and the inability of single methods to fully exploit cross-modal semantic information in multimodal representation learning, this paper ...
Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...
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